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- Tasks: Lead cutting-edge computer vision projects and develop innovative scene understanding systems.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in AI while working with a talented team of engineers.
- Qualifications: Bachelor's or master's degree in computer science and 6+ years of software engineering experience.
- Other info: Dynamic remote work environment with excellent mentorship and career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
In this role, you’ll lead the Scene Understanding Team’s computer vision research and development. This entails everything from designing systems capable of calibrating hundreds of cameras to implementing state-of-the-art 3D reconstruction methods and semantic segmentation.
Responsibilities
- Lead the development of scene understanding systems responsible for calibrating spaces that contain hundreds of cameras.
- Translate state-of-the-art research into scalable, maintainable engineering systems.
- Manage ‘scene calibration’ technologies within the Scene Understanding Team by facilitating backlog refinements, communicating with stakeholders, and collaborating on roadmaps with product managers.
- Work closely with other technology departments to deploy, monitor, and support Scene Understanding Services in hundreds of stores.
- Promote and enforce best practices in software development and project management.
- Mentor engineers and contribute to creating a collaborative remote team environment.
- Stay current with emerging AI trends and technologies to assess their potential applications in current and future projects.
Required Qualifications
- Bachelor's or master’s degree in computer science or a related field.
- 6+ years of experience as a Software Engineer.
- Extensive experience in Python.
- Proven experience working with RESTful APIs and OpenAPI, gRPC, and Protobuf, with knowledge of their design best practices and common libraries.
- Proven experience interfacing with AI projects, with a focus on computer vision and geometry.
- Proven experience in production.
- Excellent leadership, communication, and management skills.
Additional Qualifications (desired)
- Experience with asynchronous processes and event-driven architectures.
- Experience with containerized applications, Kubernetes and Docker.
- Experience with Azure.
- Experience with multi-view stereo technologies (turning images into 3D), such as Colmap.
- Experience with SLAM or Structure from Motion.
- Experience in a fast-paced, product-driven startup environment.
- Experience with Golang.
- Experience in the autonomous retail industry or a similar domain.
- Experience in MLOps, DevOps, and build/release/deployment automation.
Sr. AI Systems Engineer employer: Cervin
Contact Detail:
Cervin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. AI Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer vision and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with Python, RESTful APIs, and any relevant AI projects you've worked on.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Sr. AI Systems Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Sr. AI Systems Engineer role. Highlight your experience in computer vision, Python, and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about scene understanding and how your background makes you a perfect fit for our team. Let us know what excites you about working at StudySmarter.
Showcase Your Projects: If you've worked on any cool projects related to AI or computer vision, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Cervin
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, RESTful APIs, and computer vision. Brush up on your knowledge of 3D reconstruction methods and semantic segmentation, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading a team, be prepared to discuss your previous leadership experiences. Share specific examples of how you've managed projects, facilitated communication among stakeholders, and contributed to a collaborative environment.
✨Stay Current with AI Trends
Demonstrate your passion for AI by discussing recent trends or technologies that excite you. This shows that you’re proactive about staying informed and can bring fresh ideas to the table, which is crucial for a role focused on innovation.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and future goals. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations.
